{"id":"W4255526821","doi":"10.32920/ryerson.14666421","title":"Re-contextualizing a visual history of Canada : the division of the National Film Board of Canada's Still Photography Division collection","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Photography and Visual Culture","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Exhibition; Photography; Newspaper; Mandate; History of photography; Ephemera; Archivist; Visual arts; Collection development; Special collections; Library science; History; Media studies; Sociology; Political science; Art; Law; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003316114,0.0002774619,0.0004772113,0.0001296907,0.0002895188,0.00003346622,0.0004511743,0.000129861,0.001276529],"category_scores_gemma":[0.0001398987,0.0001654059,0.0004095254,0.0001623188,0.0003430713,0.00005987287,0.0003549634,0.000471306,2.929783e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000511152,"about_ca_system_score_gemma":0.005620195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9911484,"about_ca_topic_score_gemma":0.9993513,"domain_scores_codex":[0.9972448,0.000230355,0.000676116,0.0003216895,0.001311659,0.0002153381],"domain_scores_gemma":[0.9975117,0.0002462157,0.0007822752,0.0002982699,0.001105032,0.00005653197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002151784,0.0005312374,0.002805054,0.001479861,0.001193688,0.000003485866,0.1074287,0.00110848,0.005070049,0.01368727,0.8662091,0.0002678086],"study_design_scores_gemma":[0.002199032,0.0006184313,0.05685553,0.005126983,0.0006294116,0.000003244438,0.1456819,0.007860548,0.04898867,0.001744494,0.728215,0.002076794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9134132,0.002193736,0.00003265775,0.0003605106,0.004699933,0.0009572971,0.0008444861,0.00002481565,0.07747341],"genre_scores_gemma":[0.9936283,0.00003272553,0.000008509242,0.0004074693,0.00009018927,0.00003063435,0.00006214927,0.0000170045,0.00572306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1379942,"threshold_uncertainty_score":0.9996364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03148510302509996,"score_gpt":0.2363273279969047,"score_spread":0.2048422249718047,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}